Create a folder “BIO” in your computer Download bioinformatics08.exe from 163.25.97.214 or 163.25.97.215 Decompress bioinformatics08.exe Open bioinformatics08.ppt.

Slides:



Advertisements
Similar presentations
In Silico Primer Design and Simulation for Targeted High Throughput Sequencing I519 – FALL 2010 Adam Thomas, Kanishka Jain, Tulip Nandu.
Advertisements

Computational Biology, Part 7 Similarity Functions and Sequence Comparison with Dot Matrices Robert F. Murphy Copyright  1996, All rights reserved.
MOL8002 – Molecular mechanisms of host defence Methods of molecular biology Recognition of nucleic acids hybridization, sequencing, PCR, arrays Protein.
The Dogma Nucleic acid (DNA/RNA) is important…Why? The central dogma of Molecular Biology –DNA (genes, chromosomes) begets itself (replication), as well.
Graphic Display in GCG Configuring Graphics Languages and Devices GIF (Graphics Interchange Format) – GIF87a, GIF89a HPGL (HP Graphics Language) – ColorPro,
DNA, RNA, and the Flow of Genetic Information. Nucleic Acid Structure What structural features do DNA and RNA share? What structural features do DNA and.
Introduction to Bioinformatics - Tutorial no. 9 RNA Secondary Structure Prediction.
Copyright OpenHelix. No use or reproduction without express written consent1 Organization of genomic data… Genome backbone: base position number sequence.
Computational Biology, Part 10 Protein Structure Prediction and Display Robert F. Murphy Copyright  1996, 1999, All rights reserved.
Real-Time Primer Design for DNA Chips Annie Hui CMSC 838 Presentation.
1 Ref: Ch. 5 Mount: Bioinformatics i.Protein synthesis: ribosomal RNA transfer RNA messenger RNA ii.Catalysis e.g. ribozymes iii.Regulatory molecules 17.1.
Bioinformatics Unit 1: Data Bases and Alignments Lecture 3: “Homology” Searches and Sequence Alignments (cont.) The Mechanics of Alignments.
Error Bars & Uncertainty in Slope IB DP Physics. Error Bars  Used on graphs to display the uncertainty in measurements of the data points.  There may.
Chromosomes carry genetic information
Nucleic Acid Design Applications Polymerase Chain Reaction (PCR) Calculating Melting Temperature (Tm) PCR Primers Design.
Sequence Analysis. DNA and Protein sequences are biological information that are well suited for computer analysis Fundamental Axiom: homologous sequences.
©2003/04 Alessandro Bogliolo Primer design. ©2003/04 Alessandro Bogliolo Outline 1.Polymerase Chain Reaction 2.Primer design.
DNA Replication DNA mRNA protein transcription translation replication Before each cell division the DNA must be replicated so each daughter cell can get.
Interdisciplinary Center for Biotechnology Research
PCR Primer Design Guidelines
IN THE NAME OF GOD. PCR Primer Design Lecturer: Dr. Farkhondeh Poursina.
PCR- Polymerase chain reaction
PCR optimization. Primers – design must be good but influenced by template sequence Quality of template DNA/impurities Components of PCR may need to be.
Nucleic Acid Secondarily Structure AND Primer Selection Bioinformatics
C OMPUTATIONAL BIOLOGY. O UTLINE Proteins DNA RNA Genetics and evolution The Sequence Matching Problem RNA Sequence Matching Complexity of the Algorithms.
Bio 1010 Dr. Bonnie A. Bain. DNA Structure and Function Part 2.
Tools of Bioinformatics
Alineamiento Matricial (Harr Plot, Matrix Plot, Dot Plot, Dot Matrix)
Strand Design for Biomolecular Computation
RNA Secondary Structure Prediction Spring Objectives  Can we predict the structure of an RNA?  Can we predict the structure of a protein?
Dave Palmer Primer Design Dave Palmer
Primer Design and Computer Program Does it really matter? Principles of Primer Design Can I trust my gut feeling? What should I do? Sean Tsai ©1999, National.
Basic Overview of Bioinformatics Tools and Biocomputing Applications I Dr Tan Tin Wee Director Bioinformatics Centre.
Copyright OpenHelix. No use or reproduction without express written consent1.
RNA Secondary Structure Prediction. 16s rRNA RNA Secondary Structure Hairpin loop Junction (Multiloop)Bulge Single- Stranded Interior Loop Stem Image–
 DNA must be copied (before a cell divides)  The DNA molecule produces 2 IDENTICAL new complementary strands following the rules of base pairing: A-T,
RNA secondary structure RNA is (usually) single-stranded The nucleotides ‘want’ to pair with their Watson-Crick complements (AU, GC) They may ‘settle’
Comparing Sequences AND Multiple Sequence Alignment Bioinformatics
Doug Raiford Lesson 7.  RNA World Hypothesis  RNA world evolved into the DNA and protein world  DNA advantage: greater chemical stability  Protein.
NUCLEIC ACIDS (2).
RNA Structure Prediction RNA Structure Basics The RNA ‘Rules’ Programs and Predictions BIO520 BioinformaticsJim Lund Assigned reading: Ch. 6 from Bioinformatics:
LEHNINGER PRINCIPLES OF BIOCHEMISTRY Sixth Edition David L. Nelson and Michael M. Cox © 2013 W. H. Freeman and Company CHAPTER 8 Nucleotides and Nucleic.
Nucleic Acid Secondarily Structure AND Primer Selection Bioinformatics
Nucleic Acid Secondarily
From: Duggan et.al. Nature Genetics 21:10-14, 1999 Microarray-Based Assays (The Basics) Each feature or “spot” represents a specific expressed gene (mRNA).
Graphics and Image Data Representations 1. Q1 How images are represented in a computer system? 2.
DNA and RNA Structure Biochemistry Connection: How is structure related to function?
D. Darban, Ph.D Department of Microbiology School of Medicine Alborz University of Medical Sciences 1 Probe and Primer Design.
Chemical and Physical properties of nucleic acid
LICAD 10 Choose menu language Design of hanger support Setup specifications Setup project properties Create DXF files Create summary parts list.
Polymerase Chain Reaction
Good qPCR The Necessary and the Reasonable
Vienna RNA web servers
PCR TECHNIQUE
Lecture 4: Probe & primer design
Sequences and their Properties
Nucleic Acid Interactions Practicalities
Volume 10, Issue 4, Pages (April 2002)
Polymerase Chain Reaction
Introduction to Bioinformatics II
Fitness measures for DNA Computing
RNA 2D and 3D Structure Craig L. Zirbel October 7, 2010.
Fluorescence: nucleic acid quantitation (DNA, oligonucleotides, RNA…)
Volume 64, Issue 4, Pages (October 2003)
Volume 129, Issue 7, Pages (June 2007)
Volume 23, Issue 10, Pages (October 2016)
Jesse L. Montgomery, Nick Rejali, Carl T. Wittwer 
An RNA Sensor for Intracellular Mg2+
RNA Structural Determinants of Optimal Codons Revealed by MAGE-Seq
Volume 10, Issue 4, Pages (April 2002)
Presentation transcript:

Create a folder “BIO” in your computer Download bioinformatics08.exe from or Decompress bioinformatics08.exe Open bioinformatics08.ppt

Graphic Display in GCG Configuring Graphics Languages and Devices GIF (Graphics Interchange Format) – GIF87a, GIF89a HPGL (HP Graphics Language) – ColorPro, HP7470, HP7475, HP7550, HP7580, LaserJet3 PNG (Portable Network Graphics) – For WWW Browser PostScript ReGIS Sixel Tektronix Xwindows – Dowload x-win412.exe Program CodonPreference DotPlot Figure Frames FrameSearch /PLOt GapShow GrowTree HelicalWheel Isoelectric MapPlot Moment PepPlot PileUp PAUPDisplay PlasmidMap PlotFold PlotSimilarity PlotStructure PlotTest PrettyBox Prime StatPlot TestCode WordSearch - PLOt

Exercise 08-1 Configuring X-windows Double click lecture09/x-windows/x-win412.exe Accept all default settings Start x-win32 Connect to GCG via TELNET gcg 2% go gcg 3% xwindows Use XWindows graphics with what device: Color Workstation Gray Scale Workstation Monochrome Workstation Please choose one ( * COLORWORKSTATION * ) Plotting Configuration set to: Language: xwindows Device: COLORWORKSTATION Port or Queue: GCG_Graphics gcg 4% plottest

Nucleic Acid Secondary Structure Stemloop and Mfold In Nucleic acids, inverted repeat sequences may indicate foldback (self pairing)structures. Identifying Inverted Repeats Calculating RNA Folding Displaying of Folding StructuresStemloopPlotfold/Dotplot Mfold

STEMLOOP StemLoop finds stems (inverted repeats) within a sequence. You specify the minimum stem length (number of nucleotides in a paired stretch), minimum and maximum loop sizes, and the minimum number of bonds per stem (length of nucleotide sequence between the paired regions). Vertical bars ('|') indicating the base pairs. The associated loop is shown to the right of the stem. If either the stem or loop is too long to be displayed in its entirety on the line, then only that part that fits on the line is shown. The first and last coordinates of the stem are displayed on the left, and the length of the stem (size), the number of bonds in the stem (quality), and the loop size are shown on the right. 217 AGGCTGCAGTG AGCCGTGAT 11, 25 |||||| |||| C 257 TCCGGCCTCAC GTCACCGCG start end quality size stem

STEMLOOP Output formats 221 TGCAGTG AGCCGTG 7, 18 ||||||| 248 ACGTCAC CGCGCTA 14 Loop Start End Size Quality *.stem *.pnt  DOTPLOT 1) See the stems 2) See the stem coordinates 3) File the stems (*.fld) 4) File the stems as points for DOTPLOT 5) Choose new parameters 6) Get a different sequence Sort stems by: 1) Position 2) Quality 3) Size

MFOLD Using energy minimization criteria, any predicted "optimal" secondary structure for an RNA or DNA molecule depends on the model of folding and the specific folding energies used to calculate that structure. Different optimal foldings may be calculated if the folding energies are changed even slightly. Because of uncertainties in the folding model and the folding energies, the "correct" folding may not be the "optimal" folding determined by the program. You may therefore want to view many optimal and suboptimal structures within a few percent of the minimum energy. You can use the variation among these structures to determine which regions of the secondary structure you can predict reliably. For instance, a region of the RNA molecule containing the same helix in most calculated optimal and suboptimal secondary structures may be more reliably predicted than other regions with greater variation. Mfold output file: *.mfold

MFOLD How to read *.mfold? Survey of optimal and suboptimal foldings A) sub-optimal energy plot B) p-num plot Sampling of optimal and suboptimal foldings C) circles D) domes E) mountains F) squiggles PLOTFOLD

Exercise 08-2 Stemloop & X-windows Open the file “stemloop.doc” and follow the steps. gcg2 4% fetch gb:d00063 d00063.gb_pl1 gcg2 5% stemloop d00063.gb_pl1 There are 16 stems. Would you like to 1) See the stems 2) See the stem coordinates 3) File the stems 4) File the stems as points for DOTPLOT 5) Choose new parameters 6) Get a different sequence Q)uit? Please choose one (* 1 *): Try 1-4 Sort stems by: 1) Position 2) Quality 3) Size Q)uit Please choose one (* 1 *):

Exercise 08-3 Mfold & Plotfold Open the file “mfold.doc” and follow the steps. gcg2 4% fetch gb:j02061 J02061.gb_vi gcg2 5% mfold j02061.gb_vi  j02061.mfold $ Mfold (Linear) MFOLD what sequence ? j02061.gb_vi Begin (* 1 *) ? End (* 121 *) ? What should I call the energy matrix output file (* j02061.mfold *) ?

Primer Selection Nucleotide sequences Amino Acid sequences CONSENSUS Pileup Pretty Prettybox Primer Selection Program-Prime Amino AcidNucleotide backtranslate Specificity - %GC - Dimer – Hairpin - Tm Confirm by BLAST

Primer Length Minimum - Maximum PCR Product Length Minimum - Maximum Maximum number of primers or PCR products in output (range 1 thru 2500) Primer DNA concentration (nM) (range.1 thru 500.0) - Salt concentration (mM) (range.1 thru 500.0) Select: forward primers, only reverse primers, only primers on both strands for PCR Set maximum overlap (in base pairs) between predicted PCR products Forward strand primer extension must include position Reverse strand primer extension must include position Reject duplicate primer binding sites on template Specify primer 3' clamp (using IUB ambiguity codes) Primer % G+C Minimum (range 0.0 thru 100.0) Maximum Primer Melting Temperature (degrees Celsius) Minimum (range 0.0 thru 200.0) Maximum Maximum difference between melting temperatures of two primers in PCR (degrees Celsius) (range 0.0 thru 25.0) Product % G+C Minimum (range 0.0 thru 100.0) Maximum Product Melting Temperature (degrees Celsius) Minimum (range 0.0 thru 200.0) Maximum